https://www.uni-bamberg.de Latest news | Aktuelle Informationen en-gb Uni Bamberg Tue, 14 Apr 2026 18:59:12 +0200 Tue, 14 Apr 2026 18:59:12 +0200 TYPO3 news-31432 Mon, 13 Apr 2026 18:54:21 +0200 https://www.uni-bamberg.de/en/xai/news/artikel/2026-conference-isbi-attendance/ This April, the xAILab Bamberg traveled to London, UK, to participate in the 23rd IEEE International Symposium on Biomedical Imaging. Jointly organized by the IEEE Signal Processing Society and the Engineering in Medicine and Biology Society, the conference brought together over 900 participants from 57 countries at the ExCeL London. We contributed to this global forum with an oral presentation on domain generalization and participated in a panel discussion regarding the future of artificial intelligence careers. news-31298 Tue, 24 Mar 2026 16:17:37 +0100 https://www.uni-bamberg.de/en/xai/news/artikel/2026-publication-journal-tmlr-hyperbolic-consistency/ The growing availability of foundation models has opened up new possibilities for building robust and efficient machine learning systems. In our latest paper, HypCBC: Domain-Invariant Hyperbolic Cross-Branch Consistency for Generalizable Medical Image Analysis, published in Transactions on Machine Learning Research (TMLR), we introduce a lightweight hyperbolic learning method that improves both in-distribution classification and out-of-distribution generalization in medical imaging. news-31157 Fri, 27 Feb 2026 16:54:10 +0100 https://www.uni-bamberg.de/en/xai/news/artikel/new-editorial-and-program-committee-appointments-miccai-ijcai-ecai-pattern-recognition-2026/ We are pleased to announce that Prof. Christian Ledig has been appointed to several key leadership roles within the international research community. These appointments reflect the chair’s ongoing commitment to advancing the fields of artificial intelligence, medical imaging, and pattern recognition. news-31052 Fri, 06 Feb 2026 20:21:00 +0100 https://www.uni-bamberg.de/en/xai/news/artikel/2026-workshop-ai/ Hands-on AI at the University of Bamberg: 38 school students immersed themselves in the world of machine learning. From theory to training their own models: a workshop organized by the Chair of Explainable Machine Learning combined science with practice and ethical discourse. news-30760 Mon, 01 Dec 2025 17:13:00 +0100 https://www.uni-bamberg.de/en/xai/news/artikel/2025-symposium-idea-lab/ At the end of November, our xAILab Bamberg joined the 4th Borderless IDEA Lab Symposium in Erlangen, contributing cutting-edge research talks, welcoming a new PhD student to the community, and celebrating scientific exchange across borders; crowned by a festive visit to the Nürnberger Christkindlesmarkt. news-30466 Wed, 29 Oct 2025 15:25:00 +0100 https://www.uni-bamberg.de/en/xai/news/artikel/2025-conference-bayai-attendance/ At this year’s Bavarian Conference on AI in Medicine, hosted at the Bavarian Academy of Sciences and Humanities in Munich, xAILab Bamberg showcased a novel “training-free” approach for improving model generalization in digital pathology. By revisiting classical image processing through the lens of modern AI, our contribution sparked discussions on simplicity, efficiency, and clinical robustness in medical imaging. news-30168 Tue, 07 Oct 2025 21:04:52 +0200 https://www.uni-bamberg.de/en/xai/news/artikel/2025-conference-miccai-attendance/ This September, our xAILab Bamberg had the pleasure of participating in the prestigious MICCAI 2025 (Medical Image Computing and Computer-Assisted Intervention) conference, hosted for the very first time in Daejeon, South Korea. Set in the heart of Korea’s high-tech research hub, this year’s MICCAI brought together a record-breaking 3,000 participants and over 1,000 accepted papers, marking a new milestone in the conference’s nearly three-decade history. Under the dual themes “From Concept to Clinical” and “Pan-Asian Connections,” MICCAI 2025 celebrated innovation, collaboration, and inclusivity across the global medical imaging community and our lab was proud to contribute to this inspiring gathering. news-29088 Mon, 23 Jun 2025 16:20:45 +0200 https://www.uni-bamberg.de/en/xai/news/artikel/2025-event-xai-hike/ The Chair's second hiking excursion took place during the Master- and Doctoral-seminar from June 12 to 13, 2025. The group hiked the Frankenweg from Scheßlitz to Ebermannstadt and spent the night in Heiligenstadt i. OFr. news-28734 Tue, 29 Apr 2025 10:33:57 +0200 https://www.uni-bamberg.de/en/xai/news/artikel/ml-robuster-gegen-rauschsignale-zu-machen-unsere-neueste-arbeit-in-tmlr/ The increasing availability of pre-trained foundation models has opened new research directions for building efficient and explainable machine learning systems. In our latest paper, An Embedding is Worth a Thousand Noisy Labels, published in Transactions on Machine Learning Research (TMLR), we present a lightweight yet powerful method for mitigating the harmful effects of label noise using a novel embedding-based strategy. news-28684 Wed, 23 Apr 2025 09:48:03 +0200 https://www.uni-bamberg.de/en/xai/news/artikel/digital-healthcare-award-fuer-bachelorarbeit-in-berlin-am-9-april-2025/ We are thrilled to share that Peiyao Mao, a student from xAILab Bamberg, has been awarded third place in the prestigious DMEA Sparks Award, an honor celebrating exceptional student contributions to the future of digital healthcare.